QuasiMoTTo nearly hits the theoretical ceiling for any sampler that preserves LM marginals. That's a strong result, but the tasks are all compact symbolic domains. Does the bound stay tight once you move to open-ended text generation?

#MachineLearning #TestTimeScaling #MonteCarloMethods

Huat Thart Chiang et al.: Efficient analysis of small-angle scattering curves for large biomolecular assemblies using Monte Carlo methods ##SmallAngleScattering##BiomolecularAssembly##MonteCarloMethods@ucsandiego...##IUCrhttps://journals.iucr.org/paper?S1600576725003267

qbaconfound: A flexible Monte Carlo probabilistic bias analysis for unmeasured confounding
Carslake, D., Hughes, R. et al.
Paper
Details
#MonteCarloMethods #BiasAnalysis #ConfoundingControl